cc.mallet.grmm.inference
Class GibbsSampler

java.lang.Object
  cc.mallet.grmm.inference.GibbsSampler

All Implemented Interfaces:

Sampler

public class GibbsSampler
extends java.lang.Object
implements Sampler

Created: Mar 28, 2005

Version:

$Id: GibbsSampler.java,v 1.1 2007/10/22 21:37:49 mccallum Exp $

Author:

Constructor Summary

GibbsSampler()

GibbsSampler(int burnin)

GibbsSampler(Randoms r, int burnin)

Method Summary

Assignment	sample(FactorGraph mdl, int N) Samples from the distribution of a given undirected model.
void	setBurnin(int burnin)
void	setRandom(Randoms r) Sets the random seed used by this sampler.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GibbsSampler

public GibbsSampler()

GibbsSampler

public GibbsSampler(int burnin)

GibbsSampler

public GibbsSampler(Randoms r,
                    int burnin)

Method Detail

setBurnin

public void setBurnin(int burnin)

setRandom

public void setRandom(Randoms r)

Description copied from interface: Sampler

Sets the random seed used by this sampler.

Specified by:

setRandom in interface Sampler

Parameters:

r - Random object to be used by this sampler.

sample

public Assignment sample(FactorGraph mdl,
                         int N)

Description copied from interface: Sampler

Samples from the distribution of a given undirected model.

Specified by:

sample in interface Sampler

Parameters:

mdl - Model to sample from

N - Number of samples to generate

Returns:

A list of assignments to the model.